Functional Partitioning for Hardware-Software Codesign using Genetic Algorithms. - José Ignacio Hidalgo; Juan Lanchares (EUROMICRO, 1997)

A Method for Model Parameter Identification Using Parallel Genetic Algorithms. - José Ignacio Hidalgo; Manuel Prieto 001; Juan Lanchares; Francisco Tirado; B. de Andrés; Segundo Esteban San Román; D. Rivera (PVM/MPI, 1999)

Partitioning and Placement for Multi-FPGA Systems Using Genetic Algorithms. - José Ignacio Hidalgo; Juan Lanchares; Román Hermida (EUROMICRO, 2000)

Pipelined Genetic Architecture with Fitness on the Fly. - Aitor Ibarra; Juan Lanchares; José Ignacio Hidalgo; F. Saenz (DSD, 2001)

A Parallel Hybrid Heuristic for the TSP. - Ranieri Baraglia; José Ignacio Hidalgo; Raffaele Perego 001 (EvoWorkshops, 2001)

A Parallel Compact Genetic Algorithm for Multi-FPGA Partitioning. - Ranieri Baraglia; Raffaele Perego 001; José Ignacio Hidalgo; Juan Lanchares; Francisco Tirado (PDP, 2001)

A hybrid heuristic for the traveling salesman problem. - Ranieri Baraglia; José Ignacio Hidalgo; Raffaele Perego 001 (IEEE Trans. Evol. Comput., 2001)

A Hybrid Evolutionary Algorithm for Multi-FPGA Systems Design. - José Ignacio Hidalgo; Juan Lanchares; Aitor Ibarra; Román Hermida (DSD, 2002)

Optimization of Equational Specifications Using Genetic Techniques. - Aitor Ibarra; José M. Mendías; Juan Lanchares; José Ignacio Hidalgo; Román Hermida (DSD, 2002)

Transformation of Equational Specification by Means of Genetic Programming. - Aitor Ibarra; Juan Lanchares; Jose Manuel Mendias; José Ignacio Hidalgo; Román Hermida (EuroGP, 2002)

Multi-FPGA Systems Synthesis by Means of Evolutionary Computation. - José Ignacio Hidalgo; Francisco Fernández 001; Juan Lanchares; Juan Manuel Sánchez-Pérez; Román Hermida; Marco Tomassini; Ranieri Baraglia; Raffaele Perego 001; Oscar Garnica (GECCO, 2003)

Power-Consumption RRRRreduction in Asynchronous Circuits Using Delay Path Unequalization. - Sonia López; Oscar Garnica; José Ignacio Hidalgo; Juan Lanchares; Román Hermida (PATMOS, 2003)

Hybrid Parallelization of a Compact Genetic Algorithm. - José Ignacio Hidalgo; Manuel Prieto 001; Juan Lanchares; Ranieri Baraglia; Francisco Tirado; Oscar Garnica (PDP, 2003)

Empirical Characterization of the Latency of Long Asynchronous Pipelines with Data-Dependent Module Delays. - José Manuel Colmenar; Oscar Garnica; Sonia López; José Ignacio Hidalgo; Juan Lanchares; Román Hermida (PDP, 2004)

A methodology for reconfigurable hardware design based upon evolutionary computation. - Francisco Fernández 001; José Ignacio Hidalgo; Juan Lanchares; J. M. Sánchez (Microprocess. Microsystems, 2004)

Balancing the computation effort in genetic algorithms. - José Ignacio Hidalgo; Francisco Fernández 001 (Congress on Evolutionary Computation, 2005)

Power Reduction of Superscalar Processor Functional Units by Resizing Adder-Width. - Guadalupe Miñana; Oscar Garnica; José Ignacio Hidalgo; Juan Lanchares; José Manuel Colmenar (PATMOS, 2005)

Comparing the Performance of a 64-bit Fully-Asynchronous Superscalar Processor versus its Synchronous Counterpart. - José Manuel Colmenar; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo; Guadalupe Miñana; Sonia López (DSD, 2006)

A Power-Aware Technique for Functional Units in High-Performance Processors. - Guadalupe Miñana; Oscar Garnica; José Ignacio Hidalgo; Juan Lanchares; José Manuel Colmenar (DSD, 2006)

Sim-async: An Architectural Simulator for Asynchronous Processor Modeling Using Distribution Functions. - José Manuel Colmenar; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo; Guadalupe Miñana; Sonia López (Euro-Par, 2006)

A Technique to Reduce Static and Dynamic Power of Functional Units in High-Performance Processors. - Guadalupe Miñana; José Ignacio Hidalgo; Oscar Garnica; Juan Lanchares; José Manuel Colmenar; Sonia López (PATMOS, 2006)

Is the island model fault tolerant? - José Ignacio Hidalgo; Francisco Fernández de Vega; Juan Lanchares; Daniel Lombraña Gonzalez (GECCO, 2007)

Optimization of dynamic data structures in multimedia embedded systems using evolutionary computation. - David Atienza; Christos Baloukas; Lazaros Papadopoulos; Christophe Poucet; Stylianos Mamagkakis; José Ignacio Hidalgo; Francky Catthoor; Dimitrios Soudris; Juan Lanchares (SCOPES, 2007)

Reducing power of functional units in high-performance processors by checking instruction codes and resizing adders. - Guadalupe Miñana; José Ignacio Hidalgo; Juan Lanchares; José Manuel Colmenar; Oscar Garnica; Sonia López (IET Comput. Digit. Tech., 2007)

Design Flow of Dynamically-Allocated Data Types in Embedded Applications Based on Elitist Evolutionary Computation Optimization. - José Luis Risco-Martín; David Atienza; José Ignacio Hidalgo; Juan Lanchares (DSD, 2008)

Technical market indicators optimization using evolutionary algorithms. - Pablo Fernández-Blanco; Diego J. Bodas-Sagi; Francisco J. Soltero; José Ignacio Hidalgo (GECCO (Companion), 2008)

Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems. - José Ignacio Hidalgo; José L. Risco-Martín; David Atienza; Juan Lanchares (GECCO, 2008)

Solving discrete deceptive problems with EMMRS. - José L. Risco-Martín; José Ignacio Hidalgo; Juan Lanchares; Oscar Garnica (GECCO, 2008)

Optimization of dynamic data types in embedded systems using DEVS/SOA-based modeling and simulation. - José L. Risco-Martín; Saurabh Mittal; David Atienza; José Ignacio Hidalgo; Juan Lanchares (Infoscale, 2008)

Modelling Asynchronous Systems using Probability Distribution Functions. - José Manuel Colmenar; Noelia Morón; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo (PDP, 2008)

Particle swarm optimisation of memory usage in embedded systems. - José L. Risco-Martín; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo; David Atienza (Int. J. High Perform. Syst. Archit., 2008)

A parallel evolutionary algorithm to optimize dynamic data types in embedded systems. - José L. Risco-Martín; David Atienza; José Ignacio Hidalgo; Juan Lanchares (Soft Comput., 2008)

Multiobjective optimization of technical market indicators. - Diego J. Bodas-Sagi; Pablo Fernández; José Ignacio Hidalgo; Francisco J. Soltero; José Luis Risco-Martín (GECCO (Companion), 2009)

Improving SMT performance: an application of genetic algorithms to configure resizable caches. - Josefa Díaz; José Ignacio Hidalgo; Francisco Fernández 001; Oscar Garnica; Sonia López (GECCO (Companion), 2009)

Optimization of dynamic memory managers for embedded systems using grammatical evolution. - José L. Risco-Martín; David Atienza; Rubén Gonzalo; José Ignacio Hidalgo (GECCO, 2009)

Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems. - José Luis Risco-Martín; José Ignacio Hidalgo; David Atienza; Juan Lanchares; Oscar Garnica (GECCO, 2009)

Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems. - Christos Baloukas; José Luis Risco-Martín; David Atienza; Christophe Poucet; Lazaros Papadopoulos; Stylianos Mamagkakis; Dimitrios Soudris; José Ignacio Hidalgo; Francky Catthoor; Juan Lanchares (J. Syst. Softw., 2009)

Characterizing asynchronous variable latencies through probability distribution functions. - José Manuel Colmenar; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo (Microprocess. Microsystems, 2009)

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. - Alfredo Cuesta-Infante; Roberto Santana 001; José Ignacio Hidalgo; Concha Bielza; Pedro Larrañaga (IEEE Congress on Evolutionary Computation, 2010)

Adaptive Cache Memories for SMT Processors. - Sonia López; Oscar Garnica; David H. Albonesi; Steven G. Dropsho; Juan Lanchares; José Ignacio Hidalgo (DSD, 2010)

A Memetic Algorithm for Workforce Distribution in Dynamic Multi-Skill Call Centres. - David Millán-Ruiz; José Ignacio Hidalgo (EvoCOP, 2010)

Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution. - José Manuel Colmenar; José L. Risco-Martín; David Atienza; Oscar Garnica; José Ignacio Hidalgo; Juan Lanchares (GECCO, 2010)

Thermal-aware floorplanning exploration for 3D multi-core architectures. - David Cuesta; José Luis Ayala; José Ignacio Hidalgo; Massimo Poncino; Andrea Acquaviva; Enrico Macii (ACM Great Lakes Symposium on VLSI, 2010)

Forecasting in a Multi-skill Call Centre. - David Millán-Ruiz; Jorge Pacheco; José Ignacio Hidalgo; José Luis Vélez (ICAISC (2), 2010)

Parisian Approach - Reducing Computational Effort to Improve SMT Performance by setting Resizable Caches. - Josefa Díaz; Francisco Fernández de Vega; José Ignacio Hidalgo; Oscar Garnica (IJCCI (ICEC), 2010)

Comparison of Metaheuristics for Workforce Distribution in Multi-skill Call Centres. - David Millán-Ruiz; José Ignacio Hidalgo; Josefa Díaz (IJCCI (ICEC), 2010)

Adaptive Task Migration Policies for Thermal Control in MPSoCs. - David Cuesta; José L. Ayala; José Ignacio Hidalgo; David Atienza; Andrea Acquaviva; Enrico Macii (ISVLSI, 2010)

Simulating a LAGS processor to consider variable latency on L1 D-Cache. - J. Manuel Colmenar; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo (SummerSim, 2010)

iTest: online assessment and self-assessment in mathematics. - Nuria Joglar; Diego Martín 002; J. Manuel Colmenar; Ivan Martinez; José Ignacio Hidalgo (Interact. Technol. Smart Educ., 2010)

Parallel Architectures and Bioinspired Algorithms. - José Ignacio Hidalgo; Francisco Fernández 001; Juan Lanchares; Erick Cantú-Paz; Albert Y. Zomaya (Parallel Comput., 2010)

Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems. - José L. Risco-Martín; David Atienza; José Ignacio Hidalgo; Juan Lanchares (Parallel and Distributed Computational Intelligence, 2010)

Multi-objective optimization of dynamic memory managers using grammatical evolution. - J. Manuel Colmenar; José L. Risco-Martín; David Atienza; José Ignacio Hidalgo (GECCO, 2011)

(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset. - Alfredo Cuesta-Infante; José Ignacio Hidalgo; María Victoria Rivas (GECCO (Companion), 2011)

A combination of evolutionary algorithm and mathematical programming for the 3d thermal-aware floorplanning problem. - David Cuesta Gómez; José Luis Risco-Martín; José Luis Ayala; José Ignacio Hidalgo (GECCO, 2011)

On a generalized name entity recognizer based on Hidden Markov Models. - J. Manuel Colmenar; Miguel A. Abánades; Fernando Poza; Diego Martín 002; Alfredo Cuesta-Infante; Alberto Herran; José Ignacio Hidalgo (ISDA, 2011)

Power Profiling-Guided Floorplanner for Thermal Optimization in 3D Multiprocessor Architectures. - Ignacio Arnaldo; José L. Risco-Martín; José L. Ayala; José Ignacio Hidalgo (PATMOS, 2011)

A phase adaptive cache hierarchy for SMT processors. - Sonia López; Oscar Garnica; David H. Albonesi; Steven G. Dropsho; Juan Lanchares; José Ignacio Hidalgo (Microprocess. Microsystems, 2011)

Simulation of high-performance memory allocators. - José L. Risco-Martín; J. Manuel Colmenar; David Atienza; José Ignacio Hidalgo (Microprocess. Microsystems, 2011)

A technique for the optimization of the parameters of technical indicators with Multi-Objective Evolutionary Algorithms. - Diego J. Bodas-Sagi; Francisco J. Soltero; José Ignacio Hidalgo; Pablo Fernández; F. Fernandez (IEEE Congress on Evolutionary Computation, 2012)

A GA Combining Technical and Fundamental Analysis for Trading the Stock Market. - Iván Contreras; José Ignacio Hidalgo; Laura Núñez-Letamendia (EvoApplications, 2012)

Migration and Replacement Policies for Preserving Diversity in Dynamic Environments. - David Millán-Ruiz; José Ignacio Hidalgo (EvoApplications, 2012)

Optimization of technical indicators in real time with multiobjective evolutionary algorithms. - Francisco J. Soltero; Diego J. Bodas-Sagi; Pablo Fernández-Blanco; José Ignacio Hidalgo; Francisco Fernández de Vega (GECCO (Companion), 2012)

Fast and scalable temperature-driven floorplan design in 3D MPSoCs. - Ignacio Arnaldo; Alessandro Vincenzi; José Luis Ayala; José Luis Risco-Martín; José Ignacio Hidalgo; Martino Ruggiero; David Atienza (LATW, 2012)

Power profiling-guided floorplanner for 3D multi-processor systems-on-chip. - Ignacio Arnaldo; José Luis Risco-Martín; José Luis Ayala; José Ignacio Hidalgo (IET Circuits Devices Syst., 2012)

Using a GPU-CPU architecture to speed up a GA-based real-time system for trading the stock market. - Iván Contreras; Yiyi Jiang; José Ignacio Hidalgo; Laura Núñez-Letamendia (Soft Comput., 2012)

Parallel Architectures for Improving the Performance of a GA Based Trading System. - Iván Contreras; José Ignacio Hidalgo; Laura Núñez-Letamendia; Yiyi Jiang (Parallel Architectures and Bioinspired Algorithms, 2012)

Introduction. - Francisco Fernández de Vega; José Ignacio Hidalgo; Juan Lanchares (Parallel Architectures and Bioinspired Algorithms, 2012)

Combining Technical Analysis and Grammatical Evolution in a Trading System. - Iván Contreras; José Ignacio Hidalgo; Laura Núñez-Letamendia (EvoApplications, 2013)

An evolutionary methodology for automatic design of finite state machines. - J. Manuel Colmenar; Alfredo Cuesta-Infante; José L. Risco-Martín; José Ignacio Hidalgo (GECCO (Companion), 2013)

Special issue on parallel architectures and bioinspired algorithm: guest editors message. - José Ignacio Hidalgo; Francisco Fernández de Vega (Concurr. Comput. Pract. Exp., 2013)

A review of bioinspired computer-aided design tools for hardware design. - Juan Lanchares; Oscar Garnica; Francisco Fernández de Vega; José Ignacio Hidalgo (Concurr. Comput. Pract. Exp., 2013)

3D thermal-aware floorplanner using a MOEA approximation. - David Cuesta; José Luis Risco-Martín; José L. Ayala; José Ignacio Hidalgo (Integr., 2013)

A parallel evolutionary algorithm for technical market indicators optimization. - Diego J. Bodas-Sagi; Pablo Fernández-Blanco; José Ignacio Hidalgo; Francisco José Soltero-Domingo (Nat. Comput., 2013)

Matching island topologies to problem structure in parallel evolutionary algorithms. - Ignacio Arnaldo; Iván Contreras; David Millán-Ruiz; José Ignacio Hidalgo; Natalio Krasnogor (Soft Comput., 2013)

Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. - José Ignacio Hidalgo; J. Manuel Colmenar; José Luis Risco-Martín; Esther Maqueda; Marta Botella; José Antonio Rubio; Alfredo Cuesta-Infante; Oscar Garnica; Juan Lanchares (GECCO (Companion), 2014)

Solving GA-hard problems with EMMRS and GPGPUs. - José Ignacio Hidalgo; J. Manuel Colmenar; José Luis Risco-Martín; Carlos Sánchez-Lacruz; Juan Lanchares; Oscar Garnica; Josefa Díaz (GECCO, 2014)

Modeling glycemia in humans by means of Grammatical Evolution. - José Ignacio Hidalgo; J. Manuel Colmenar; José Luis Risco-Martín; Alfredo Cuesta-Infante; Esther Maqueda; Marta Botella; José Antonio Rubio (Appl. Soft Comput., 2014)

glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes. - José Ignacio Hidalgo; Esther Maqueda; José L. Risco-Martín; Alfredo Cuesta-Infante; J. Manuel Colmenar; Javier Nobel (J. Biomed. Informatics, 2014)

A methodology to automatically optimize dynamic memory managers applying grammatical evolution. - José L. Risco-Martín; J. Manuel Colmenar; José Ignacio Hidalgo; Juan Lanchares; Josefa Díaz (J. Syst. Softw., 2014)

Blind optimisation problem instance classification via enhanced universal similarity metric. - Iván Contreras; Ignacio Arnaldo; Natalio Krasnogor; José Ignacio Hidalgo (Memetic Comput., 2014)

Data-Based Identification of Prediction Models for Glucose. - J. Manuel Velasco; Stephan M. Winkler; José Ignacio Hidalgo; Oscar Garnica; Juan Lanchares; J. Manuel Colmenar; Esther Maqueda; Marta Botella; José Antonio Rubio (GECCO (Companion), 2015)

Thermal-aware floorplanner for 3D IC, including TSVs, liquid microchannels and thermal domains optimization. - David Cuesta; José L. Risco-Martín; José L. Ayala; José Ignacio Hidalgo (Appl. Soft Comput., 2015)

Parallel Bioinspired Algorithms on the Grid and Cloud - Guest editor message to the Special Issue. - José Ignacio Hidalgo; Francisco Fernández de Vega (J. Grid Comput., 2015)

Comparative study of meta-heuristic 3D floorplanning algorithms. - Alfredo Cuesta-Infante; J. Manuel Colmenar; Zorana Bankovic; José L. Risco-Martín; Marina Zapater; José Ignacio Hidalgo; José Luis Ayala; José Manuel Moya (Neurocomputing, 2015)

Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. - J. Manuel Colmenar; José Ignacio Hidalgo; Juan Lanchares; Oscar Garnica; José L. Risco-Martín; Iván Contreras; Almudena Sánchez; J. Manuel Velasco (EvoApplications (2), 2016)

Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. - J. Manuel Colmenar; Stephan M. Winkler; Gabriel Kronberger; Esther Maqueda; Marta Botella; José Ignacio Hidalgo (GECCO (Companion), 2016)

Using evolutionary algorithms to determine the residual stress profile across welds of age-hardenable aluminum alloys. - José Ignacio Hidalgo; Ricardo Fernández; J. Manuel Colmenar; Florencia Cioffi; José Luis Risco-Martín; Gaspar González-Doncel (Appl. Soft Comput., 2016)

Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. - José Manuel Velasco; Oscar Garnica; Sergio Contador; Juan Lanchares; Esther Maqueda; Marta Botella; José Ignacio Hidalgo (CEC, 2017)

Glucose Prognosis by Grammatical Evolution. - José Ignacio Hidalgo; J. Manuel Colmenar; Gabriel Kronberger; Stephan M. Winkler (EUROCAST (1), 2017)

Embedded Grammars for Grammatical Evolution on GPGPU. - José Ignacio Hidalgo; Carlos Cervigón; José Manuel Velasco; J. Manuel Colmenar; Carlos García Sánchez 001; Guillermo Botella (EvoApplications (1), 2017)

Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting. - José Manuel Velasco; Oscar Garnica; Sergio Contador; José Manuel Colmenar; Esther Maqueda; Marta Botella; Juan Lanchares; José Ignacio Hidalgo (EvoApplications (1), 2017)

Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation. - José Manuel Velasco; Oscar Garnica; Sergio Contador; Marta Botella; Juan Lanchares; José Ignacio Hidalgo (GECCO (Companion), 2017)

A meta-grammatical evolutionary process for portfolio selection and trading. - Iván Contreras; José Ignacio Hidalgo; Laura Núñez-Letamendia; J. Manuel Velasco (Genet. Program. Evolvable Mach., 2017)

A hybrid automated trading system based on multi-objective grammatical evolution. - Iván Contreras; José Ignacio Hidalgo; Laura Núñez-Letamendia (J. Intell. Fuzzy Syst., 2017)

Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. - José Ignacio Hidalgo; J. Manuel Colmenar; Gabriel Kronberger; Stephan M. Winkler; Oscar Garnica; Juan Lanchares (J. Medical Syst., 2017)

A genetic algorithm approach to customizing a glucose model based on usual therapeutic parameters. - Carlos Cervigón; José Ignacio Hidalgo; Marta Botella; Rafael J. Villanueva (Prog. Artif. Intell., 2017)

Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution. - José Ignacio Hidalgo; J. Manuel Colmenar; J. Manuel Velasco; Gabriel Kronberger; Stephan M. Winkler; Oscar Garnica; Juan Lanchares (Handbook of Grammatical Evolution, 2018)

A CPU-GPU Parallel Ant Colony Optimization Solver for the Vehicle Routing Problem. - Antón Rey; Manuel Prieto 001; José Ignacio Gómez; Christian Tenllado; José Ignacio Hidalgo (EvoApplications, 2018)

Calibrating a large network model describing the transmission dynamics of the human papillomavirus using a particle swarm optimization algorithm in a distributed computing environment. - Luis Acedo; Clara Burgos; José Ignacio Hidalgo; Victor Sánchez-Alonso; Rafael-Jacinto Villanueva; Javier Villanueva-Oller (Int. J. High Perform. Comput. Appl., 2018)

Special issue on "Evolutionary Algorithms on Parallel Architectures and Distributed Infrastructures". - José Ignacio Hidalgo; Francisco Fernández de Vega (Int. J. High Perform. Comput. Appl., 2018)

Swarm hybrid optimization for a piecewise model fitting applied to a glucose model. - Luis Acedo; Marta Botella; Juan Carlos Cortés; José Ignacio Hidalgo; Esther Maqueda; Rafael Jacinto Villanueva Micó (J. Syst. Inf. Technol., 2018)

Editorial. - Francisco Fernández de Vega; Federico Divina; José Ignacio Hidalgo; Meng-Hiot Lim (Memetic Comput., 2018)

Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting. - José Manuel Velasco; Oscar Garnica; Juan Lanchares; Marta Botella; José Ignacio Hidalgo (Memetic Comput., 2018)

Can clustering improve glucose forecasting with genetic programming models? - Sergio Contador; José Ignacio Hidalgo; Oscar Garnica; J. Manuel Velasco; Juan Lanchares (GECCO (Companion), 2019)

Determination of microscopic residual stresses using evolutionary algorithms. - José Ignacio Hidalgo; Ricardo Fernández; J. Manuel Colmenar; Oscar Garnica; Juan Lanchares; Gaspar González-Doncel (GECCO (Companion), 2019)

Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms. - José Ignacio Hidalgo; Ricardo Fernández; Oscar Garnica; J. Manuel Colmenar; Juan Lanchares; Gaspar González-Doncel (GECCO (Companion), 2019)

Structured grammatical evolution for glucose prediction in diabetic patients. - Nuno Lourenço 002; J. Manuel Colmenar; José Ignacio Hidalgo; Oscar Garnica (GECCO, 2019)

Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty. - Rafael J. Villanueva; José Ignacio Hidalgo; Carlos Cervigón; Javier Villanueva-Oller; Juan Carlos Cortés (Appl. Soft Comput., 2019)

Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. - David Joedicke; Gabriel Kronberger; José Manuel Colmenar; Stephan M. Winkler; José Manuel Velasco; Sergio Contador; José Ignacio Hidalgo (KDH@ECAI, 2020)

Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution. - Sergio Contador; J. Manuel Colmenar; Oscar Garnica; José Ignacio Hidalgo (EvoApplications, 2020)

Evolving energy demand estimation models over macroeconomic indicators. - Nuno Lourenço 002; J. Manuel Colmenar; José Ignacio Hidalgo; Sancho Salcedo-Sanz (GECCO, 2020)

Profiled glucose forecasting using genetic programming and clustering. - Sergio Contador; J. Manuel Velasco; Oscar Garnica; José Ignacio Hidalgo (SAC, 2020)

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging. - José Ignacio Hidalgo; Marta Botella; J. Manuel Velasco; Oscar Garnica; Carlos Cervigón; Remedios Martínez; Aranzazu Aramendi; Esther Maqueda; Juan Lanchares (Appl. Soft Comput., 2020)

Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients. - Oscar Garnica; Juan Lanchares; J. Manuel Velasco; José Ignacio Hidalgo; Marta Botella (Biomed. Signal Process. Control., 2020)

A computational technique to predict the level of glucose of a diabetic patient with uncertainty in the short term. - Clara Burgos Simón; Carlos Cervigón; José Ignacio Hidalgo; Rafael J. Villanueva (Comput. Math. Methods, 2020)

Multilayer analysis of population diversity in grammatical evolution for symbolic regression. - Gabriel Kronberger; J. Manuel Colmenar; Stephan M. Winkler; José Ignacio Hidalgo (Soft Comput., 2020)

Optimal Runtime Algorithm to Improve Fault Tolerance of Bus-Based Reconfigurable Designs. - Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. - Jorge Alvarado 003; J. Manuel Velasco; Francisco Chávez de la O; José Ignacio Hidalgo; Francisco Fernández de Vega (CEC, 2021)

Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms. - Carlos Cervigón; J. Manuel Velasco; Clara Burgos Simón; Rafael J. Villanueva; José Ignacio Hidalgo (CEC, 2021)

Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming. - Laura Millán; Gabriel Kronberger; José Ignacio Hidalgo; Ricardo Fernández; Oscar Garnica; Gaspar González-Doncel (EvoApplications, 2021)

Glucose forecasting using genetic programming and latent glucose variability features. - Sergio Contador; J. Manuel Velasco; Oscar Garnica; José Ignacio Hidalgo (Appl. Soft Comput., 2021)

A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes. - Felix Tena; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo (CoRR, 2021)

Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes. - Felix Tena; Oscar Garnica; Juan Lanchares; José Ignacio Hidalgo (Sensors, 2021)

Evolving Classification Rules for Predicting Hypoglycemia Events. - Marina de la Cruz López; Carlos Cervigón; Jorge Alvarado 003; Marta Botella; José Ignacio Hidalgo (CEC, 2022)

Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification. - Daniel Parra; David Joedicke; Alberto Gutiérrez; J. Manuel Velasco; Oscar Garnica; J. Manuel Colmenar; José Ignacio Hidalgo (EUROCAST, 2022)

WebGE: An Open-Source Tool for Symbolic Regression Using Grammatical Evolution. - J. Manuel Colmenar; Raúl Martín-Santamaría; José Ignacio Hidalgo (EvoApplications, 2022)

Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models. - Daniel Parra; Alberto Gutiérrez; José Manuel Velasco; Oscar Garnica; José Ignacio Hidalgo (EvoApplications, 2022)

Evolutionary approach to model calibration with uncertainty: an application to breast cancer growth model. - Carlos Andreu-Vilarroig; Josu Ceberio; Juan Carlos Cortés; Francisco Fernández de Vega; José Ignacio Hidalgo; Rafael-Jacinto Villanueva (GECCO Companion, 2022)

Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. - Josu Ceberio; Juan Carlos Cortés; Francisco Fernández de Vega; Oscar Garnica; José Ignacio Hidalgo; J. Manuel Velasco; Rafael-Jacinto Villanueva (GECCO Companion, 2022)

Collaborative Multiobjective Evolutionary Algorithms in search of better Pareto Fronts. An application to trading systems. - Francisco J. Soltero; Pablo Fernández-Blanco; José Ignacio Hidalgo (CoRR, 2022)

Blood glucose prediction using multi-objective grammatical evolution: analysis of the "agnostic" and "what-if" scenarios. - Sergio Contador; J. Manuel Colmenar; Oscar Garnica; J. Manuel Velasco; José Ignacio Hidalgo (Genet. Program. Evolvable Mach., 2022)

Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction. - Jorge Cano; José Ignacio Hidalgo; Oscar Garnica; Juan Lanchares (GECCO Companion, 2023)

Estimation of Interstitial Glucose from physical activity measures using Grammatical Evolution. - Carlos Cervigón; José Ignacio Hidalgo (GECCO Companion, 2023)

Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. - Leon Ingelse; José Ignacio Hidalgo; José Manuel Colmenar; Nuno Lourenço 002; Alcides Fonseca (GECCO Companion, 2023)

Tree-Based Grammatical Evolution with Non-Encoding Nodes. - Marina de la Cruz López; Oscar Garnica; José Ignacio Hidalgo (GECCO Companion, 2023)

Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution. - Daniel Parra; Alberto Gutiérrez-Gallego; José Manuel Velasco; Rafael-Jacinto Villanueva; José Ignacio Hidalgo (GECCO Companion, 2023)

Genetic Programming Techniques for Glucose Prediction in People with Diabetes. - José Ignacio Hidalgo; José Manuel Velasco; Daniel Parra; Oscar Garnica (GPTP, 2023)

Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning. - J. Alvarado; J. Manuel Velasco; F. Chávez; José Ignacio Hidalgo; Francisco Fernández de Vega (CoRR, 2023)

A particle swarm optimization algorithm with novelty search for combustion systems with ultra-low emissions and minimum fuel consumption. - David Martínez Rodríguez; Ricardo Novella; Gabriela Bracho; Josep Gomez-Soriano; Cassio Fernandes; Tommaso Lucchini; Augusto Della Torre; Rafael-Jacinto Villanueva; José Ignacio Hidalgo (Appl. Soft Comput., 2023)

Modelling the Risk of Overweight and Obesity Based on the GenObiA Dataset Using Genetic Programming. - José Ignacio Hidalgo; Elisabeth Mayrhuber; Stephan M. Winkler; Daniel Parra; J. Manuel Velasco; José J. Zamorano-León; Oscar Garnica (EUROCAST (2), 2024)

Real Time Evolvable Hardware for Optimal Reconfiguration of Cusp-Like Pulse Shapers. - Juan Lanchares; Oscar Garnica; José L. Risco-Martín; José Ignacio Hidalgo; J. Manuel Colmenar; Alfredo Cuesta-Infante (CoRR, 2024)

Novel methodological and computational techniques for uncertainty quantification in diabetes short-term management models using real data. - Clara Burgos Simón; Juan Carlos Cortés; José Ignacio Hidalgo; Rafael J. Villanueva (Int. J. Comput. Math., 2024)

Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction. - Daniel Parra; David Joedicke; J. Manuel Velasco; Gabriel Kronberger; José Ignacio Hidalgo (IEEE J. Biomed. Health Informatics, 2024)

Building uncertainty-aware mathematical models based on evidence from datasets using grammatical evolution optimization techniques: the case of the obesity dynamics. - Daniel Parra; José Ignacio Hidalgo; José Manuel Velasco; Rafael-Jacinto Villanueva (Comput. Appl. Math., 2024)

Estimation of Total Body Fat Using Symbolic Regression and Evolutionary Algorithms. - José Manuel Muñoz; Odin Morón-García; Omar Costilla-Reyes; José Ignacio Hidalgo (EvoApplications (2), 2025)

Unveiling the dynamics of NOx pollution in internal combustion engines by Structured Grammatical Evolution. - Marcos Llamazares López; Daniel Parra; José Manuel Velasco Cabo; Oscar Garnica; Rafael Jacinto Villanueva Micó; J. Ignacio Hidalgo (GECCO, 2025)

Contribution of Probabilistic Structured Grammatical Evolution to efficient exploration of the search space. A case study in glucose prediction. - Jessica Mégane; Nuno Lourenço 002; J. Ignacio Hidalgo; Penousal Machado (GECCO, 2025)

Optimising Performance Curves for Ensemble Models through Pareto Front Analysis of the Decision Space. - Alberto Gutiérrez-Gallego; Oscar Garnica; Daniel Parra; J. Manuel Velasco; J. Ignacio Hidalgo (Expert Syst. J. Knowl. Eng., 2025)

Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming. - Jorge Cano; José Ignacio Hidalgo; Oscar Garnica (Genet. Program. Evolvable Mach., 2025)

A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes. - Leon Ingelse; José Ignacio Hidalgo; J. Manuel Colmenar; Nuno Lourenço 002; Alcides Fonseca (Genet. Program. Evolvable Mach., 2025)

Reverse-Engineering Optimization Techniques of High-Level Synthesis: Practical Insights Into Accelerating Applications With AMD-Xilinx Vitis. - Jorge Koronis; Oscar Garnica; J. Ignacio Hidalgo; Juan Lanchares (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

An LSTM-Based Neural Network Wearable System for Blood Glucose Prediction in People With Diabetes. - Felix Tena; Oscar Garnica; Juan Lanchares; J. Ignacio Hidalgo (IEEE J. Biomed. Health Informatics, 2025)